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Duration 14 hours (2 days)
Course Outline
Introduction to AI in Journalism
- The role of AI in the modern digital newsroom.
- An overview of generative AI and large language models.
- Real-world use cases and current global trends.
AI Tools for Journalistic Writing
- Headline generation and tone adaptation.
- AI-assisted article drafting and summarization techniques.
- Prompt engineering strategies tailored for news content.
AI in Research, Fact-Checking, and Editorial Quality
- Leveraging AI to validate facts and detect misinformation.
- Identifying bias and calibrating tone.
- Gaining suggestions for improvement and ensuring style consistency.
Automation in Newsroom Workflows
- Automating transcription, subtitling, and translation.
- Automating tagging, metadata enrichment, and content clustering.
- Utilizing AI-powered personalization and recommendation systems.
Ethical Considerations and Editorial Oversight
- Maintaining transparency, authorship clarity, and human-in-the-loop practices.
- Establishing editorial policies for AI-generated content.
- Understanding regulatory frameworks and ensuring newsroom accountability.
Hands-on Lab: AI Content Generation Practice
- Writing and refining sample articles using ChatGPT.
- Experimenting with bias detection and editing tools.
- Comparing the quality of human-written content versus AI-assisted content.
Planning AI Integration in Journalistic Workflows
- Designing hybrid content pipelines that combine human and AI efforts.
- Managing editorial review and compliance processes.
- Selecting tools, managing subscriptions, and implementing strategies.
Summary and Next Steps
Requirements
- Foundational knowledge of journalistic writing techniques and editorial workflows.
- Familiarity with widely used digital publishing platforms.
- A general interest in AI-assisted tools and their responsible application.
Target Audience
- Journalists and editors.
- Content strategists and newsroom managers.
- Specialists in media innovation.